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Identification of some novel oxazine substituted 9-anilinoacridines as SARS-CoV-2 inhibitors for COVID-19 by molecular docking, free energy calculation and molecular dynamics studies.

Kalirajan RajagopalPotlapati VarakumarBaliwada AparnaGowramma ByranSrikanth Jupudi
Published in: Journal of biomolecular structure & dynamics (2020)
Coronavirus disease (COVID-19), a life-threatening disease, is caused by SARS-CoV-2. The targeted therapeutics of small molecules helps the scientific community to fight against SARS-CoV-2. In this article, some oxazine substituted 9-anilinoacridines (A1-A48) was designed by docking, MM-GBSA and molecular dynamics (MD) simulation studies for their COVID-19 inhibitory activity. The docking of ligands A1-A48 against SARS-CoV-2 (PDB ID: 5R82) are performed by using Glide module, in silico ADMET screening by QikProp module, binding energy using Prime MM-GB/SA module, MD simulation by Desmond module and atomic charges were derived by Jaguar module of Schrodinger suit 2019-4. Compound A38 has the highest G-score (-7.83) when compared to all the standard compounds which are proposed for COVID-19 treatment such as ritonavir (-7.48), lopinavir (-6.94), nelfinavir (-5.93), hydroxychloroquine (-5.47) and mataquine (-5.37). Compounds A13, A23, A18, A7, A48, A46, A32, A20, A1 and A47 are significantly active against SARS-CoV-2 main protease when compared with hydroxychloroquine and mataquine. The residues GLN19, THR24, THR25, THR26, LEU27, HIE41, SER46, MET49, ASN119, ASN142, HIE164, MET165, ASP187, ARG188 and GLN189 of SARS-CoV-2 main protease play a crucial role in binding with ligands. The in silico ADMET properties of the molecules are within the recommended values. The binding free energy was calculated using PRIME MM-GB/SA studies. From the ligands A38, A13, A23, A18, A7, A48 and A46 with significant Glide scores may produce significant COVID-19 activity for further development. Compound A38 was subjected to MD simulation at 100 ns to study the dynamic behaviour of protein-ligand complex.Communicated by Ramaswamy H. Sarma.
Keyphrases
  • sars cov
  • molecular dynamics
  • molecular docking
  • respiratory syndrome coronavirus
  • coronavirus disease
  • density functional theory
  • molecular dynamics simulations
  • small molecule
  • protein protein
  • drug delivery